Elastic Observability vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Elastic Observability is the stronger AI pick in Observability: it has a visibility score of 14.8 versus 1.4 for Langfuse.
Choose Elastic Observability if…
- You want the brand AI engines rank higher (14.8 vs 1.4)
- You need ISO 27017 or ISO 27018 or SOC 2 Type 2 or FedRAMP Moderate or FedRAMP High Impact or PCI DSS or HIPAA or CSA STAR or Cyber Essentials+ coverage
- Strong search-analytics foundation and log analysis
- Best for log-centric analysis and logs and search
Choose Langfuse if…
- AI answers describe it more positively (50% vs 28% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or HIPAA-ready region or GDPR coverage
- Discounted cloud pricing for qualifying early-stage startups
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Elastic Observability | Langfuse |
|---|---|---|
| Visibility score | 14.8% | 1.4% |
| Change vs last week | New | New |
| Rank in Observability | #8 | #27 |
| Share of voice | 4.9% | 0.4% |
| Mentions this run | 29 | 2 |
| Positive in AI answers | 28% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Elastic Observability 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
Elastic Observability leads on 3 of 3 engines
Head to head in AI answers
0 engine answers name both brands
Features, pricing & fit
| Dimension | Elastic Observability | Langfuse |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $29 / mo |
| Free plan | — | Yes |
| Deployment | Hosted managed service across public clouds, Serverless plans, and self-managed software | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | — | 100+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, SOC 2 Type 2, FedRAMP Moderate, FedRAMP High Impact, PCI DSS, HIPAA, CSA STAR, Cyber Essentials+ | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | — | Community support via GitHub, In-app support, Private Slack or MS Teams channel on Pro and Enterprise plans, Named lead support engineer on Enterprise plans |
| Headquarters | Amsterdam, Netherlands | — |
| Employees | 1,001–5,000 | — |
| Funding | IPO | Seed · $4M raised |
| Best for | — | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
Elastic Observability
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Elastic Observability
- Strong search-analytics foundation and log analysis
- Best for log-centric analysis and logs and search
- OpenTelemetry-native observability platform
- Predictable pricing option
- Flexibility for application observability
Langfuse
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Elastic Observability vs Langfuse”, https://slateindex.ai/compare/elastic-observability-vs-langfuse, data of Nov 3, 2026. Licence: CC BY 4.0.